Methods, systems, apparatuses and devices for facilitating processing of recyclable items

ABSTRACT

A system to facilitate processing of recyclable items is disclosed. Further, the system may include a communication device configured for receiving event data associated with a recycling process from at least one sensory device, receiving a request for the event data from a first user device, and transmitting the event data to the first user device. Further, the system may include a processing device communicatively coupled to the communication device, configured for issuing a predetermined amount of crypto tokens to a second crypto account. Further, the system may include a storage device communicatively coupled to the processing device, configured for storing, using a distributed ledger technology, the event data, and data related to the issuing of the predetermined amount of crypto tokens to the second crypto account.

RELATED APPLICATIONS

This is a continuation application of U.S. patent application Ser. No.16/422,229 which was filed on May 24, 2019, entitled “METHODS, SYSTEMS,APPARATUSES AND DEVICES FOR FACILITATING PROCESSING OF RECYCLABLEITEMS”.

TECHNICAL FIELD

Generally, the present disclosure relates to the field of dataprocessing. More specifically, the present disclosure relates tomethods, systems, apparatuses and devices for facilitating processing ofrecyclable items.

BACKGROUND

Recycling is an effective action to restrict greenhouse gas emissions byremoving the requirement to bury or incinerate waste. This leads to areduction in nitrous oxide and carbon dioxide emissions. Additionally,recycling avoids energy-intensive manufacturing steps includingprocessing of raw material and allowing processing of material for lessenergy.

However, systems that allow maintaining of a transparent ledger ofaccounting for recycling activity, utilizing sensors to gauge qualityand quantity of recycled goods, and aligning objectives of stakeholderslike governments, hauling companies, Material Recovery Facilities,businesses, and individuals involved in the recycling process do notexist.

Further, systems that allow selling of recycling of stored recyclingdata in lieu of cryptocurrency tokens do not exist.

Therefore, there is a need for improved methods, systems, apparatusesand devices for facilitating processing of recyclable items that mayovercome one or more of the above-mentioned problems and/or limitations.

BRIEF SUMMARY

This summary is provided to introduce a selection of concepts in asimplified form, that are further described below in the DetailedDescription. This summary is not intended to identify key features oressential features of the claimed subject matter. Nor is this summaryintended to be used to limit the claimed subject matter's scope.

The present disclosure provides a system to facilitate processing ofrecyclable items. Further, the system may include a communicationdevice. Further, the communication device may be configured forreceiving event data associated with a recycling process from one ormore sensory devices. Further, the one or more sensory devices may beconfigured for capturing the event data associated with the recyclingprocess. Further, the one or more sensory devices may include ahyperspectral camera. Further, the hyperspectral camera may beconfigured for capturing one or more hyperspectral images of one or morerecyclable items undergoing the recycling process. Further, the eventdata may include the one or more hyperspectral images. Further, thecommunication device may be configured for receiving a request for theevent data from a first user device. Further, the communication devicemay be configured for transmitting the event data to the first userdevice. Further, the system may include a processing devicecommunicatively coupled to the communication device. Further, theprocessing device may be configured for analyzing the event data usingone or more image processing models. Further, the processing device maybe configured for determining one or more of an amount and a type of theone or more recyclable items based on the analyzing. Further, theprocessing device may be configured for issuing a predetermined amountof crypto tokens corresponding to one or more of the amount and the typeof the one or more recyclable items to a second crypto accountassociated with a second user device. Further, the system may include astorage device communicatively coupled to the processing device.Further, the storage device may be configured for storing, using adistributed ledger, the event data, and data related to the issuing ofthe predetermined amount of crypto tokens to the second crypto account.

The present disclosure provides a method to facilitate processing ofrecyclable items may be disclosed. Further, the method may includereceiving, using a communication device, event data associated with arecycling process from one or more sensory devices. Further, the one ormore sensory devices may be configured for capturing the event dataassociated with the recycling process. Further, the one or more sensorydevices may include a hyperspectral camera. Further, the hyperspectralcamera may be configured for capturing one or more hyperspectral imagesof one or more recyclable items undergoing the recycling process.Further, the event data may include the one or more hyperspectralimages. Further, the method may include storing, using a storage device,using a distributed ledger, the event data. Further, the method mayinclude analyzing, using a processing device, the event data using oneor more image processing models. Further, the method may includedetermining, using the processing device, one or more of an amount and atype of the one or more recyclable items based on the analyzing.Further, the method may include issuing, using the processing device, apredetermined amount of crypto tokens corresponding to one or more ofthe amount and the type of the one or more recyclable items to a secondcrypto account associated with a second user device. Further, the methodmay include transmitting, using the communication device, the event datato the first user device. Further, the method may include storing, usingthe storage device, using the distributed ledger, data related to theissuing of the predetermined amount of crypto tokens to the secondcrypto account.

Both the foregoing summary and the following detailed descriptionprovide examples and are explanatory only. Accordingly, the foregoingsummary and the following detailed description should not be consideredto be restrictive. Further, features or variations may be provided inaddition to those set forth herein. For example, embodiments may bedirected to various feature combinations and sub-combinations describedin the detailed description.

BRIEF DESCRIPTION OF DRAWINGS

The accompanying drawings, which are incorporated in and constitute apart of this disclosure, illustrate various embodiments of the presentdisclosure. The drawings contain representations of various trademarksand copyrights owned by the Applicants. In addition, the drawings maycontain other marks owned by third parties and are being used forillustrative purposes only. All rights to various trademarks andcopyrights represented herein, except those belonging to theirrespective owners, are vested in and the property of the applicants. Theapplicants retain and reserve all rights in their trademarks andcopyrights included herein, and grant permission to reproduce thematerial only in connection with reproduction of the granted patent andfor no other purpose.

Furthermore, the drawings may contain text or captions that may explaincertain embodiments of the present disclosure. This text is included forillustrative, non-limiting, explanatory purposes of certain embodimentsdetailed in the present disclosure.

FIG. 1 is an illustration of an online platform consistent with variousembodiments of the present disclosure.

FIG. 2 is a block diagram of a system to facilitate processing ofrecyclable items, in accordance with some embodiments.

FIG. 3 is a block diagram of a system to facilitate processing ofrecyclable items, in accordance with some embodiments.

FIG. 4 is a flowchart of a method to facilitate processing of recyclableitems, in accordance with some embodiments

FIG. 5 is a flowchart of a method of calculating a proof of provenancedata, in accordance with some embodiments.

FIG. 6 is a flowchart of a method of issuing a predetermined amount ofcrypto tokens to a second crypto account based on proof of provenancedata, in accordance with some embodiments.

FIG. 7 is a flowchart of a method of calculating a proof of impact data,in accordance with some embodiments.

FIG. 8 is a flowchart of a method of issuing a predetermined amount ofcrypto tokens to a second crypto account based on proof of impact data,in accordance with some embodiments.

FIG. 9 is a flowchart of a method to facilitate generation of anonymizedevent data, in accordance with some embodiments.

FIG. 10 is a block diagram of a system to facilitate processing ofrecyclable items in communication with a plurality of participants, inaccordance with some embodiments.

FIG. 11 is a block diagram of a system to facilitate processing ofrecyclable items allowing a business to purchase event data related to arecycling process, in accordance with some embodiments.

FIG. 12 is a block diagram of a system to facilitate processing ofrecyclable items allowing participating entities to purchase event datarelated to a recycling process, in accordance with some embodiments.

FIG. 13 is a block diagram of a computing device for implementing themethods disclosed herein, in accordance with some embodiments.

DETAILED DESCRIPTION

As a preliminary matter, it will readily be understood by one havingordinary skill in the relevant art that the present disclosure has broadutility and application. As should be understood, any embodiment mayincorporate only one or a plurality of the above-disclosed aspects ofthe disclosure and may further incorporate only one or a plurality ofthe above-disclosed features. Furthermore, any embodiment discussed andidentified as being “preferred” is considered to be part of a best modecontemplated for carrying out the embodiments of the present disclosure.Other embodiments also may be discussed for additional illustrativepurposes in providing a full and enabling disclosure. Moreover, manyembodiments, such as adaptations, variations, modifications, andequivalent arrangements, will be implicitly disclosed by the embodimentsdescribed herein and fall within the scope of the present disclosure.

Accordingly, while embodiments are described herein in detail inrelation to one or more embodiments, it is to be understood that thisdisclosure is illustrative and exemplary of the present disclosure, andare made merely for the purposes of providing a full and enablingdisclosure. The detailed disclosure herein of one or more embodiments isnot intended, nor is to be construed, to limit the scope of patentprotection afforded in any claim of a patent issuing here from, whichscope is to be defined by the claims and the equivalents thereof. It isnot intended that the scope of patent protection be defined by readinginto any claim limitation found herein and/or issuing here from thatdoes not explicitly appear in the claim itself.

Thus, for example, any sequence(s) and/or temporal order of steps ofvarious processes or methods that are described herein are illustrativeand not restrictive. Accordingly, it should be understood that, althoughsteps of various processes or methods may be shown and described asbeing in a sequence or temporal order, the steps of any such processesor methods are not limited to being carried out in any particularsequence or order, absent an indication otherwise. Indeed, the steps insuch processes or methods generally may be carried out in variousdifferent sequences and orders while still falling within the scope ofthe present disclosure. Accordingly, it is intended that the scope ofpatent protection is to be defined by the issued claim(s) rather thanthe description set forth herein.

Additionally, it is important to note that each term used herein refersto that which an ordinary artisan would understand such term to meanbased on the contextual use of such term herein. To the extent that themeaning of a term used herein—as understood by the ordinary artisanbased on the contextual use of such term—differs in any way from anyparticular dictionary definition of such term, it is intended that themeaning of the term as understood by the ordinary artisan shouldprevail.

Furthermore, it is important to note that, as used herein, “a” and “an”each generally denotes “at least one,” but does not exclude a pluralityunless the contextual use dictates otherwise. When used herein to join alist of items, “or” denotes “at least one of the items,” but does notexclude a plurality of items of the list. Finally, when used herein tojoin a list of items, “and” denotes “all of the items of the list.”

The following detailed description refers to the accompanying drawings.Wherever possible, the same reference numbers are used in the drawingsand the following description to refer to the same or similar elements.While many embodiments of the disclosure may be described,modifications, adaptations, and other implementations are possible. Forexample, substitutions, additions, or modifications may be made to theelements illustrated in the drawings, and the methods described hereinmay be modified by substituting, reordering, or adding stages to thedisclosed methods. Accordingly, the following detailed description doesnot limit the disclosure. Instead, the proper scope of the disclosure isdefined by the claims found herein and/or issuing here from. The presentdisclosure contains headers. It should be understood that these headersare used as references and are not to be construed as limiting upon thesubjected matter disclosed under the header.

The present disclosure includes many aspects and features. Moreover,while many aspects and features relate to, and are described in thecontext of processing of recyclable items, embodiments of the presentdisclosure are not limited to use only in this context.

In general, the method disclosed herein may be performed by one or morecomputing devices. For example, in some embodiments, the method may beperformed by a server computer in communication with one or more clientdevices over a communication network such as, for example, the Internet.In some other embodiments, the method may be performed by one or more ofat least one server computer, at least one client device, at least onenetwork device, at least one sensor and at least one actuator. Examplesof the one or more client devices and/or the server computer mayinclude, a desktop computer, a laptop computer, a tablet computer, apersonal digital assistant, a portable electronic device, a wearablecomputer, a smart phone, an Internet of Things (IoT) device, a smartelectrical appliance, a video game console, a rack server, asuper-computer, a mainframe computer, mini-computer, micro-computer, astorage server, an application server (e.g. a mail server, a web server,a real-time communication server, an FTP server, a virtual server, aproxy server, a DNS server etc.), a quantum computer, and so on.Further, one or more client devices and/or the server computer may beconfigured for executing a software application such as, for example,but not limited to, an operating system (e.g. Windows, Mac OS, Unix,Linux, Android, etc.) in order to provide a user interface (e.g. GUI,touch-screen based interface, voice based interface, gesture basedinterface etc.) for use by the one or more users and/or a networkinterface for communicating with other devices over a communicationnetwork. Accordingly, the server computer may include a processingdevice configured for performing data processing tasks such as, forexample, but not limited to, analyzing, identifying, determining,generating, transforming, calculating, computing, compressing,decompressing, encrypting, decrypting, scrambling, splitting, merging,interpolating, extrapolating, redacting, anonymizing, encoding anddecoding. Further, the server computer may include a communicationdevice configured for communicating with one or more external devices.The one or more external devices may include, for example, but are notlimited to, a client device, a third party database, public database, aprivate database and so on. Further, the communication device may beconfigured for communicating with the one or more external devices overone or more communication channels. Further, the one or morecommunication channels may include a wireless communication channeland/or a wired communication channel. Accordingly, the communicationdevice may be configured for performing one or more of transmitting andreceiving of information in electronic form. Further, the servercomputer may include a storage device configured for performing datastorage and/or data retrieval operations. In general, the storage devicemay be configured for providing reliable storage of digital information.Accordingly, in some embodiments, the storage device may be based ontechnologies such as, but not limited to, data compression, data backup,data redundancy, deduplication, error correction, data finger-printing,role based access control, and so on.

Further, one or more steps of the method disclosed herein may beinitiated, maintained, controlled and/or terminated based on a controlinput received from one or more devices operated by one or more userssuch as, for example, but not limited to, an end user, an admin, aservice provider, a service consumer, an agent, a broker and arepresentative thereof. Further, the user as defined herein may refer toa human, an animal or an artificially intelligent being in any state ofexistence, unless stated otherwise, elsewhere in the present disclosure.Further, in some embodiments, the one or more users may be required tosuccessfully perform authentication in order for the control input to beeffective. In general, a user of the one or more users may performauthentication based on the possession of a secret human readable secretdata (e.g. username, password, passphrase, PIN, secret question, secretanswer etc.) and/or possession of a machine readable secret data (e.g.encryption key, decryption key, bar codes, etc.) and/or possession ofone or more embodied characteristics unique to the user (e.g. biometricvariables such as, but not limited to, fingerprint, palm-print, voicecharacteristics, behavioral characteristics, facial features, irispattern, heart rate variability, evoked potentials, brain waves, and soon) and/or possession of a unique device (e.g. a device with a uniquephysical and/or chemical and/or biological characteristic, a hardwaredevice with a unique serial number, a network device with a uniqueIP/MAC address, a telephone with a unique phone number, a smartcard withan authentication token stored thereupon, etc.). Accordingly, the one ormore steps of the method may include communicating (e.g. transmittingand/or receiving) with one or more sensor devices and/or one or moreactuators in order to perform authentication. For example, the one ormore steps may include receiving, using the communication device, thesecret human readable data from an input device such as, for example, akeyboard, a keypad, a touch-screen, a microphone, a camera and so on.Likewise, the one or more steps may include receiving, using thecommunication device, the one or more embodied characteristics from oneor more biometric sensors.

Further, one or more steps of the method may be automatically initiated,maintained and/or terminated based on one or more predefined conditions.In an instance, the one or more predefined conditions may be based onone or more contextual variables. In general, the one or more contextualvariables may represent a condition relevant to the performance of theone or more steps of the method. The one or more contextual variablesmay include, for example, but are not limited to, location, time,identity of a user associated with a device (e.g. the server computer, aclient device etc.) corresponding to the performance of the one or moresteps, environmental variables (e.g. temperature, humidity, pressure,wind speed, lighting, sound, etc.) associated with a devicecorresponding to the performance of the one or more steps, physicalstate and/or physiological state and/or psychological state of the user,physical state (e.g. motion, direction of motion, orientation, speed,velocity, acceleration, trajectory, etc.) of the device corresponding tothe performance of the one or more steps and/or semantic content of dataassociated with the one or more users. Accordingly, the one or moresteps may include communicating with one or more sensors and/or one ormore actuators associated with the one or more contextual variables. Forexample, the one or more sensors may include, but are not limited to, atiming device (e.g. a real-time clock), a location sensor (e.g. a GPSreceiver, a GLONASS receiver, an indoor location sensor etc.), abiometric sensor (e.g. a fingerprint sensor), an environmental variablesensor (e.g. temperature sensor, humidity sensor, pressure sensor, etc.)and a device state sensor (e.g. a power sensor, a voltage/currentsensor, a switch-state sensor, a usage sensor, etc. associated with thedevice corresponding to performance of the or more steps).

Further, the one or more steps of the method may be performed one ormore number of times. Additionally, the one or more steps may beperformed in any order other than as exemplarily disclosed herein,unless explicitly stated otherwise, elsewhere in the present disclosure.Further, two or more steps of the one or more steps may, in someembodiments, be simultaneously performed, at least in part. Further, insome embodiments, there may be one or more time gaps between performanceof any two steps of the one or more steps.

Further, in some embodiments, the one or more predefined conditions maybe specified by the one or more users. Accordingly, the one or moresteps may include receiving, using the communication device, the one ormore predefined conditions from one or more and devices operated by theone or more users. Further, the one or more predefined conditions may bestored in the storage device. Alternatively, and/or additionally, insome embodiments, the one or more predefined conditions may beautomatically determined, using the processing device, based onhistorical data corresponding to performance of the one or more steps.For example, the historical data may be collected, using the storagedevice, from a plurality of instances of performance of the method. Suchhistorical data may include performance actions (e.g. initiating,maintaining, interrupting, terminating, etc.) of the one or more stepsand/or the one or more contextual variables associated therewith.Further, machine learning may be performed on the historical data inorder to determine the one or more predefined conditions. For instance,machine learning on the historical data may determine a correlationbetween one or more contextual variables and performance of the one ormore steps of the method. Accordingly, the one or more predefinedconditions may be generated, using the processing device, based on thecorrelation.

Further, one or more steps of the method may be performed at one or morespatial locations. For instance, the method may be performed by aplurality of devices interconnected through a communication network.Accordingly, in an example, one or more steps of the method may beperformed by a server computer. Similarly, one or more steps of themethod may be performed by a client computer. Likewise, one or moresteps of the method may be performed by an intermediate entity such as,for example, a proxy server. For instance, one or more steps of themethod may be performed in a distributed fashion across the plurality ofdevices in order to meet one or more objectives. For example, oneobjective may be to provide load balancing between two or more devices.Another objective may be to restrict a location of one or more of aninput data, an output data and any intermediate data therebetweencorresponding to one or more steps of the method. For example, in aclient-server environment, sensitive data corresponding to a user maynot be allowed to be transmitted to the server computer. Accordingly,one or more steps of the method operating on the sensitive data and/or aderivative thereof may be performed at the client device.

FIG. 1 is an illustration of an online platform 100 consistent withvarious embodiments of the present disclosure. By way of non-limitingexample, the online platform 100 to facilitate processing of recyclableitems may be hosted on a centralized server 102, such as, for example, acloud computing service. The centralized server 102 may communicate withother network entities, such as, for example, a mobile device 104 (suchas a smartphone, a laptop, a tablet computer etc.), other electronicdevices 106 (such as desktop computers, server computers etc.),databases 108, and sensors 110 over a communication network 114, suchas, but not limited to, the Internet. Further, users of the onlineplatform 100 may include relevant parties such as, but not limited to,end users, administrators, service providers, service consumers and soon. Accordingly, in some instances, electronic devices operated by theone or more relevant parties may be in communication with the onlineplatform 100.

A user 116, such as the one or more relevant parties, may access onlineplatform 100 through a web based software application or browser. Theweb based software application may be embodied as, for example, but notbe limited to, a website, a web application, a desktop application, anda mobile application compatible with a computing device 1300.

FIG. 2 is a block diagram of a system 200 to facilitate processing ofrecyclable items, in accordance with some embodiments. Further, thesystem 200 may include a communication device 202 configured forreceiving event data associated with a recycling process from at leastone sensory device. Further, the event data may include data describingthe recycling process. For instance, the event data may include adescription of a recyclable item that may have been recycled during therecycling process. For instance, the recyclable item may include paperbased products, such as used notebooks, newspapers, cardboard boxes,plastic based products such as plastic bottles, carry bags, glass basedproducts, including windows, and bottles, metal based products,including ferrous, and non-ferrous metal based products, a combinationtherein, brand or product labels, and so on. Further, the event data mayinclude an amount of the recyclable item that may have been recycled.Further, the event data may include a quality of the recyclable item.Further, the quality of the recyclable item may describe an amount ofthe recyclable item that may not contain contaminants and may berecyclable. For instance, if the recyclable item includes paper basedproducts, the quality of the recyclable item may correlate to an amountof ink on the recyclable item. Further, the event data may include adescription of one or more recycling processes to recycle the recyclableitem. For instance, the one or more recycling processes may includesorting the recyclable item, including separating plastic basedproducts, paper based products, and metal based products from therecyclable item, rinsing, including cleaning the recyclable item to ridcontaminants, colorants or additives. Further, the one or more recyclingprocesses may include reclamation of the recyclable item. For instance,if the recyclable item includes plastic based products, reclamation mayinclude feeding plastic into grinders to be flaked and cleaned, andmelting flakes of plastics into corresponding individual polymers andre-formed into pellets, or chemically recycled through processes such asdepolymerization, decomposition or conversion and re-formed intochemical components, monomers or petroleum products. Further, if therecyclable item includes glass based products, reclamation may includecrushing the glass into small pieces (cullet). Further, the cullet maybe shipped blended with virgin material, or placed in a furnace andmelted to be converted directly into new glass containers. Further, ifthe recyclable item includes metal based products, reclamation mayinclude smelting the metals at high temperatures, such as 2,800 degreesFahrenheit. Further, the molten metal liquid may be recast into ingots.Further, the event data may include the timestamp describing temporaldetails of the occurrence of the event, such as time, date, and year atwhich the event data was recorded. Further, the event data may bereceived from the at least one sensory device. Further, the at least onesensory device may be configured to capture the event data associatedwith the recycling process. For instance, the at least one sensorydevice may include a spectroscopic scanner used during sortingconfigured to differentiate between different types of material, such asbut not limited to different types of paper based products and plasticbased products. Further, the at least one sensory device may include acolored filter scanner configured to scan, and aid in sorting of glassbased products. Further, the communication device 202 may be configuredfor receiving a request for the event data from a first user device.Further, the first user device may include, but may not be limited to asmartphone such as the mobile device 104, a tablet computer, otherelectronic devices 106, such as a laptop computer and a desktopcomputer, a wearable device such as a smart watch, and so on. Further,the first user device may correspond to a first user, such as at leastone of a government agency, an NGO, a non-profit organization, acorporate organization, and an individual. Further, the first user mayrequest for the event data associated with the recycling process toevaluate and compare a recycling performance and/or practice of one ormore recyclers, as to draw larger conclusions about waste and/ormaterials management trends associated with the recycling process.Further, the communication device 202 may be configured for transmittingthe event data to the first user device based on deducting of apredetermined amount of crypto tokens from a first crypto accountassociated with the first user. Further, the amount of crypto tokens maybe predetermined based on a value of the event data. For instance, thevalue of the event data may be determined based on an amount ofrecyclable items recycled. Further, the system 200 may include aprocessing device 204 communicatively coupled to the communicationdevice 202. Further, the processing device 204 may be configured fordeducting the predetermined amount of crypto tokens from the firstcrypto account. Further, the crypto account may include at least one ofa digital wallet associated with the user of the user device and ahardware wallet associated with the user of the user device. Further, inan instance, the processing device 204 may be configured for recordingtransaction data associated with the deducting the predetermined amountof crypto tokens from the first crypto account. For instance, thetransaction data may include at least one of a time of deducting thepredetermined amount of crypto tokens, a digital address of the firstcrypto account, and the predetermined amount and a value of the cryptotokens deducted from the first crypto account. Further, the system 200may include a storage device 206 communicatively coupled to each of thecommunication device 202 and the processing device 204. Further, thestorage device 206 may be configured for storing, using a distributedledger technology, the event data, and data related to the deducting ofthe predetermined amount of crypto tokens from the first crypto account.Further, the distributed ledger technology may include at least one of ablock-chain, and a hashgraph. For instance, the storage device 206 maybe configured for storing the transaction data associated with thededucting of the predetermined amount of crypto tokens from the firstcrypto account. For instance, the transaction data may include at leastone of a time of deducting the predetermined amount of crypto tokens, adigital address of the first crypto account, and the predeterminedamount and a value of the crypto tokens deducted from the first cryptoaccount. Further, in some embodiments, the at least one sensory devicemay include a visual classification system configured to capture animage of a recyclable item, wherein the at least one of an amount and atype of recyclable item may be determinable based on analysis of theimage. Further, in an instance, the visual classification system may ahyperspectral camera configured to capture a hyperspectral image of therecyclable item. Further, the visual classification system may includean AI camera, an X ray, a high speed camera, and so on.

Further, in an instance, physical or chemical characteristics of therecyclable item may be determinable based on analysis of the image.Further, in some embodiments, the at least one sensory device may belocated at a Materials Recovery Facility (MRF). For instance, the visualclassification system located at the Material Recovery Facility (MRF)may be configured to capture a type of the recyclable item. Forinstance, the recyclable item may include paper based products, such asused notebooks, newspapers, cardboard boxes, plastic based products suchas plastic bottles, carry bags, glass based products, including windows,and bottles, metal based products, including ferrous, and non-ferrousmetal based products, a combination therein, brand or product labels,and so on. Further, the visual classification system located at theMaterial Recovery Facility (MRF) may be configured to capture an amountof the recyclable item that may have been recycled. Further, the visualclassification system located at the Material Recovery Facility (MRF)may be configured to capture a quality of the recyclable item. Further,the quality of the recyclable item may describe the physical or chemicalcondition of a recyclable item, such as an amount of the recyclable itemthat may not contain contaminants, and may be recyclable. For instance,if the recyclable item includes paper based products, the quality of therecyclable item may correlate to an amount of ink on the recyclableitem. Further, if the recyclable item includes plastic based foodcontainers or has encountered other items that came into contact withfood, the quality of the recyclable item may correlate to an amount offood remains on the recyclable item.

Further, in some embodiments, the at least one sensory device mayinclude a tag reader configured to read at least one tag associated witha container configured to receive and store a recyclable item. Forinstance, the at least one tag associated with the container may includea location tag, such as a GPS sensor, GLONASS sensor, a Bluetoothbeacon, and ultra-wideband sensors, configured to be read by the atleast one of the at least one sensory device and the first user device.Further, the at least one tag associated with the container may includea QR tag, an NFC tag, an RFID tag, a Numeric tag, a Magnetic tag, animage, and so on, associated with a container of the recyclable item, ascaptured by a tag reader.

Further, in some embodiments, the event data may include at least one ofan amount and a type of recyclable item, an amount of non-recyclableitem, data related to at least one recycling procedure in the recyclingprocess, and an amount and a type of recycled item.

Further, in some embodiments, the processing device 204 may beconfigured for issuing a predetermined amount of crypto tokens to asecond crypto account associated with a second user device correspondingto the recycling process based on the event data. Further, the seconduser device may be associated with a second user. Further, the seconduser may include an individual, a corporation, a manufacturing facility,or a government agency associated with the recycling process of therecyclable item, such as that which occurs at an MRF. Further, theamount of crypto tokens may be predetermined based on a value of therecyclable item, such as determined by an amount of the recyclable item,and a type of the recyclable item. For instance, the predeterminedamount of crypto tokens may be more if the recyclable item includes aplastic based product, and may be less of the recyclable item includes apaper based product.

Further, in some embodiments, the communication device 202 may beconfigured for receiving a proof of provenance data from the at leastone sensory device. Further, the at least one sensory device may beconfigured for calculating the proof of provenance data based on theevent data. Further, the proof of provenance data may include an originand ownership data. Further, the at least one sensory device maycalculate the proof of provenance data by analyzing the event data. Forinstance, the event data may include sensory data captured from at leastone tag, such as a QR tag, an NFC tag, an RFID tag, a Numeric tag, aMagnetic tag, and so on, associated with a container of the recyclableitem, as captured by a tag reader. Further, the tag reader may beconfigured to determine the proof provenance data based on the sensorydata captured from the at least one tag. For instance, the sensory datacaptured by the tag reader may include an origin data describing asource of the recyclable item, and an ownership data describing an ownerof the recyclable item, such as a corporation, an individual, agovernment agency, and so on. Further, the proof of provenance data mayinclude a recycling data corresponding to at least one of a quality of arecyclable item associated with the recycling process, a quantity of therecyclable item, and a quantity of non-recyclable items associated withthe recycling process. Further, the at least one sensory device maycalculate the proof of provenance data by analyzing the event data. Forinstance, if the event data comprises one or more images captured by avisual classification system, the visual classification system may beconfigured to analyze the one or more images, such as through imageprocessing, to determine a quantity of the recyclable item. Further, inan instance, the analyzing may include determining a quantity of therecyclable item, such as determining that the recycling process maycorrespond to 5 tons of the recyclable item. Further, the at least onesensory device may be configured for determining a quality of therecyclable item. Further, the quality of the recyclable item may becalculated by comparing the quantity of the recyclable item against anamount of contaminants in the recyclable item. For instance, thequantity of the recyclable item may be compared against the quantity ofcontaminants to determine the quality of the recyclable item. Further,the proof of provenance data may comprise an amount of discardednon-recyclable item. Further, the discarded non-recyclable item may havebeen sorted from the recyclable item during the recycling process.Further, in an instance, a quantity of the discarded non-recyclable itemmay be compared against the quantity of the recyclable item to determinethe quality of the recyclable item. Further, the storage device 206 maybe configured for storing, using the distributed ledger technology, theproof of provenance data. Further, the communication device 202 may beconfigured for transmitting the proof of provenance data to the firstuser device.

Further, in some embodiments, the processing device 204 may beconfigured for issuing a predetermined amount of crypto tokens to asecond crypto account associated with a second user device associatedwith the recycling process based on the proof of provenance data.Further, the amount of crypto tokens may be predetermined based on theproof of provenance data. For instance, the predetermined amount ofcrypto-tokens may correspond to at least one of a quality of arecyclable item associated with the recycling process, a quantity of therecyclable item, and a quantity of non-recyclable items associated withthe recycling process. Further, the storage device 206 may be configuredfor storing, using the distributed ledger technology, data related tothe issuing the predetermined amount of crypto tokens to the secondcrypto account, such as but not limited to a time of issuance of thepredetermined amount of crypto-tokens, and the amount of issuedcrypto-tokens.

Further, in some embodiments, the communication device 202 may beconfigured for receiving a proof of impact data from the at least onesensory device. Further, at least one sensory device may be configuredfor calculating the proof of impact data based on the event data.Further, the proof of impact data may include recycling datacorresponding to at least one of a raw material reduction and CO₂offset. Further, the communication device 202 may be configured fortransmitting the proof of impact data to the first user device. Further,the at least one sensory device may be configured to analyze the eventdata to calculate the proof of impact data. For instance, if the eventdata includes one or more images captured by a visual classificationsystem, the visual classification system may be configured for analyzingthe one or more images, such as through image processing, and determinean amount of the recyclable item. For instance, if recyclable itemcomprises plastic based food packaging products, the at least onesensory device may be configured to determine an amount of recyclableitem not containing food particles, such as food scraps. Further, theamount of recyclable item not containing food particles may correspondto raw material reduction. Further, the at least one sensory device maybe configured to analyze the event data to determine a composition ofthe recyclable item to calculate a carbon offset after recycling therecyclable item. For instance, recycling plastic based products, such asPolyethylene terephthalate (PET) bottles may lead to a higher carbon(CO₂) offset than recycling paper based products. Further, the storagedevice 206 may be further configured for storing, using the distributedledger technology, the proof of impact data.

Further, in some embodiments, the processing device 204 may beconfigured for issuing a predetermined amount of crypto tokens to asecond crypto account associated with a second user device associatedwith the recycling process based on the proof of impact data. Further,the amount of crypto tokens may be predetermined based on the proof ofimpact data. For instance, the predetermined amount of crypto-tokens maycorrespond to at least one of raw material reduction, and CO₂ offset.Further, the storage device 206 may be configured for storing, using thedistributed ledger technology, data related to the issuing thepredetermined amount of crypto tokens to the second crypto account.

Further, in some embodiments, the processing device 204 may beconfigured for generating an anonymized event data based onanonymization of the event data. Further, the communication device 202may be configured for transmitting the anonymized event data to thefirst user device.

FIG. 3 is a block diagram of a system 300 to facilitate processing ofrecyclable items, in accordance with some embodiments. Further, thesystem 300 may include a transceiver 302 configured for receiving eventdata associated with a recycling process corresponding to the recyclableitem from at least one sensory device. Further, the event data mayinclude data describing the recycling process. For instance, the eventdata may include a description of a recyclable item that may have beenrecycled during the recycling process. For instance, the recyclable itemmay include paper based products, such as used notebooks, newspapers,cardboard boxes, plastic based products such as plastic bottles, carrybags, glass based products, including windows, and bottles, metal basedproducts, including ferrous, and non-ferrous metal based products, andso on. Further, the event data may include an amount of the recyclableitem that may have been recycled. Further, the event data may include aquality of the recyclable item. Further, the quality of the recyclableitem may describe an amount of the recyclable item that may not containcontaminants and may be recyclable. For instance, if the recyclable itemincludes paper based products, the quality of the recyclable item maycorrelate to an amount of ink on the recyclable item. Further, the eventdata may include a description of one or more recycling processes torecycle the recyclable item. For instance, the one or more recyclingprocesses may include sorting the recyclable item, including separatingplastic based products, paper based products, and metal based productsfrom the recyclable item, rinsing, including cleaning the recyclableitem to rid contaminants, coolants, or additives. Further, the one ormore recycling processes may include reclamation of the recyclable item.For instance, if the recyclable item includes plastic based products,reclamation may include feeding plastic into grinders to be flaked andcleaned, and melting flakes of plastics into corresponding individualpolymers and re-formed into pellets, or chemically recycled throughprocesses such as depolymerization, decomposition or conversion andre-formed into chemical components, monomers or petroleum products.Further, if the recyclable item includes glass based products,reclamation may include crushing the glass into small pieces (cullet).Further, the cullet may be shipped blended with virgin material, orplaced in a furnace and melted to be converted directly into new glasscontainers. Further, if the recyclable item metal plastic basedproducts, reclamation may include smelting the metals at hightemperatures, such as 2,800 degrees Fahrenheit. Further, the moltenmetal liquid may be recast into ingots. Further, the event data may bereceived from the at least one sensory device. Further, the at least onesensory device may be configured to capture the event data associatedwith the recycling process. For instance, the at least one sensorydevice may include a spectroscopic scanner used during sortingconfigured to differentiate between different types of paper basedproducts, and plastic based products. Further, the at least one sensorydevice may include a colored filter scanner configured to scan, and aidin sorting of glass based products. Further, in some embodiments, theevent data may include sensory data captured by the at least one sensorydevice. Further, in some embodiments, the at least one sensory devicemay include a visual classification system located at a MaterialRecovery Facility (MRF) configured to capture an image of the recyclableitem, wherein the at least one of an amount and a type of recyclableitem may be determinable based on analysis of the image. Further, the atleast one sensory device may include at least one scanning deviceconfigured for scanning a tag associated with a container configured tostore the recyclable item. For instance, the at least one tag mayinclude a location tag such as a GPS tag, GLONASS tag, a Bluetoothbeacon, and ultra wideband tag. Further, the event data may include atleast one of a location of the recyclable item, such as the location ofthe recyclable item while being transported to a Materials RecoveryFacility (MRF), temporal details of a time at which the recyclable itemis placed in the container, is transported, and a time when therecyclable item is received at the MRF. Further, the first user mayinclude an individual, a corporation, a manufacturing facility, or agovernment agency associated with the recycling process of therecyclable item. Further, the transceiver 302 may be configured forreceiving a request for the event data from a second user device.Further, the second user device may correspond to a second user, such asat least one of a government agency, an NGO, a corporate organization,and an individual. Further, the second user may request for the eventdata associated with the recycling process to evaluate and compare arecycling performance and/or practice of one or more recyclers, to drawlarger conclusions about recycling trends associated with waste and/ormaterials management process. Further, the transceiver 302 may beconfigured for transmitting the event data to the second user devicebased on deducting of a predetermined amount of crypto tokens from asecond crypto account associated with a second user of the second userdevice. Further, the system 300 may include a processing device 304communicatively coupled to the transceiver 302. Further, the processingdevice 304 may be configured for deducting the predetermined amount ofcrypto tokens from the second crypto account associated with the seconduser device. Further, the second crypto account may include at least oneof a second digital wallet associated with the second user of the seconduser device and a second hardware wallet associated with the second userof the second user device. Further, the processing device 304 may beconfigured for recording transaction data associated with the deductingthe predetermined amount of crypto tokens from the second cryptoaccount. For instance, the transaction data may include at least one ofa time of deducting the second crypto token, a digital address of thesecond crypto account, and the predetermined amount and a value of thecrypto tokens deducted from the second crypto account. Further, thesystem 300 may include a storage device 306 communicatively coupled tothe processing device 304. Further, the storage device 306 may beconfigured for storing, using a distributed ledger technology, each ofthe tracking data, and the event data. Further, in an instance, thestorage device 306 may be configured for storing the transaction dataassociated with the deducting of the predetermined amount of cryptotokens from the second crypto account. Further, in some embodiments, theprocessing device 304 may be configured for analyzing each of thetracking data, and the event data to calculate at least one of a proofof provenance data and a proof of impact data. Further, the proof ofprovenance data may include an origin and ownership data. Further, theat least one sensory device may calculate the proof of provenance databy analyzing the event data. For instance, the event data may includesensory data captured from at least one tag, such as a QR tag, an NFCtag, an RFID tag, a Numeric tag, a Magnetic tag, and so on, associatedwith a container of the recyclable item, as captured by a tag reader.Further, the processing device 304 may be configured to determine theproof provenance data based on the sensory data captured from the atleast one tag. For instance, the sensory data captured by the tag readermay include an origin data describing a source of the recyclable item,and an ownership data describing an owner of the recyclable item, suchas a corporation, an individual, a government agency, and so on.Further, the proof of provenance data may include recycling datacorresponding to at least one of a quality of a recyclable itemassociated with the recycling process, a quantity of the recyclableitem, and an amount of non-recyclable material associated with therecycling process. Further, the proof of impact data may includerecycling data corresponding to at least one of a raw material reductionand CO₂ offset. Further, the processing device 304 may be configured toanalyze the event data to calculate the proof of impact data. Forinstance, if the event data includes one or more hyperspectral imagescaptured by one or more hyperspectral cameras, the processing device 304may be configured for analyzing the one or more hyperspectral images,such as through image processing, and determine an amount of therecyclable item. For instance, if item comprises plastic based foodpackaging products, the processing device 304 may be configured todetermine an amount of recyclable item not containing food particles,such as food scraps. Further, the amount of recyclable item notcontaining food particles may correspond to a raw material reduction.Further, the processing device 304 may be configured to analyze theevent data to determine a composition of the recyclable item tocalculate a carbon offset after recycling the recyclable item. Forinstance, recycling plastic based products, such as Polyethyleneterephthalate (PET) bottles may lead to a higher carbon (CO₂) offsetthan recycling paper based products. Further, in an embodiment, theprocessing device 304 may be configured to analyze the event data todetermine a geographic relocation of the recyclable item to calculate acarbon offset in the transportation the recyclable item. For instance,recycling item transported a within one city may lead to a higher carbon(CO₂) offset than recycling item transported across multiple states.Further, the proof of provenance data may be calculated by theprocessing device 304 by analyzing the event data. For instance, if theevent data comprises one or more hyperspectral images captured by ahyperspectral camera, the processing device 304 may be configured toanalyze the one or more hyperspectral images, such as through imageprocessing, to determine a quantity of the recyclable item. Further, inan instance, the analyzing may include comparing the quantity of therecyclable item against a pre-set provenance scale. For instance, 5 tonsof the recyclable item may correspond to a point on the provenance.Accordingly, in an instance, 25 tons of the recyclable item maycorrespond to 5 points on the provenance scale. Further, the processingdevice 204 may be configured for determining a quality of the recyclableitem. Further, the quality of the recyclable item may be calculated bycomparing the quantity of the recyclable item against an amount ofcontaminants in the recyclable item. For instance, the quantity of therecyclable item may be compared against the quantity of contaminants todetermine a quality of the recyclable item. Further, the proof ofprovenance data may comprise an amount of discarded non-recyclable item.Further, the discarded non-recyclable item may have been sorted from therecyclable item during the recycling process. Further, in an instance, aquantity of the discarded non-recyclable item may be compared againstthe quantity of the recyclable item to determine the quality of therecyclable item.

Further, the processing device 304 may be configured for generating apredetermined amount of crypto tokens corresponding to at least one ofthe proof of impact data, and the proof of provenance data. Further, avalue and the predetermined amount of the crypto tokens may correspondto the at least one of the proof of impact data, and the proof ofprovenance data. For instance, recycling event leading to higher CO₂offsets may lead to generation of a higher predetermined amount of firstcrypto tokens.

Further, the transceiver 302 may be configured for transmitting thepredetermined amount of crypto tokens to a first account associated withthe first user device.

Further, in some embodiments, the processing device 304 may beconfigured for generating an anonymized event data based onanonymization of the event data. Further, the transceiver 302 may beconfigured for transmitting the anonymized event data to the second userdevice requesting the event data.

FIG. 4 is a flowchart of a method 400 to facilitate processing ofrecyclable items, in accordance with some embodiments. Further, at 402,the method 400 may include receiving, using a communication device,event data associated with a recycling process from at least one sensorydevice.

Further, at 404, the method 400 may include storing, using a storagedevice, using a distributed ledger technology, the event data.

Further, at 406, the method 400 may include receiving, using thecommunication device, a request for the event data from a first userdevice.

Further, at 408, the method 400 may include deducting, using aprocessing device, a predetermined amount of crypto tokens from a firstcrypto account associated with the first user device.

Further, at 410, the method 400 may include transmitting, using thecommunication device, the event data to the first user device based onthe deducting.

Further, at 412, the method 400 may include storing, using the storagedevice, using the distributed ledger technology, data related to thededucting of the predetermined amount of crypto tokens from the firstcrypto account.

Further, in some embodiments, the at least one sensory device mayinclude a visual classification system configured to capture an image ofa recyclable item. Further, the at least one of an amount and a type ofrecyclable item may be determinable based on analysis of the image.

Further, in some embodiments, the event data may include at least one ofan amount and a type of recyclable item, an amount of non-recyclableitem, data related to at least one recycling procedure in the recyclingprocess, and an amount and a type of recycled item.

Further, in some embodiments, the at least one sensory device mayinclude a hyperspectral camera located configured to capture ahyperspectral image of the recyclable item. Further, the at least one ofan amount and a type of recyclable item may be determinable based onanalysis of the hyperspectral image.

Further, in some embodiments, the at least one sensory device mayinclude a tag reader configured to read at least one tag associated witha container configured to receive and store a recyclable item. Forinstance, the at least one tag may include a location tag, such as a GPSsensor, and a GLONASS sensor.

Further, in some embodiments, the at least one sensory device mayinclude a spectroscopic scanner configured to determine a type of arecyclable item.

FIG. 5 is a flowchart of a method 500 of calculating a proof ofprovenance data, in accordance with some embodiments.

Further, at 502, the method 500 may include receiving, using thecommunication device, a proof of provenance data from the at least onesensory device. Further, the at least one sensory device may beconfigured for calculating the proof of provenance data based on theevent data. Further, the proof of provenance data may include recyclingdata corresponding to at least one of a quality of a recyclable itemassociated with the recycling process, a quantity of the recyclableitem, and a quantity of non-recyclable items associated with therecycling process. Further, the proof of provenance data may include anorigin and ownership data. Further, the at least one sensory device maycalculate the proof of provenance data by analyzing the event data. Forinstance, the event data may include sensory data captured from at leastone tag, such as a QR tag, an NFC tag, an RFID tag, a Numeric tag, aMagnetic tag, and so on, associated with a container of the recyclableitem, as captured by a tag reader. Further, the tag reader may beconfigured to determine the proof provenance data based on the sensorydata captured from the at least one tag. For instance, the sensory datacaptured by the tag reader may include an origin data describing asource of the recyclable item, and an ownership data describing an ownerof the recyclable item, such as a corporation, an individual, agovernment agency, and so on. Further, the proof of provenance data mayinclude a recycling data corresponding to at least one of a quality of arecyclable item associated with the recycling process, a quantity of therecyclable item, and a quantity of non-recyclable items associated withthe recycling process. Further, the at least one sensory device maycalculate the proof of provenance data by analyzing the event data. Forinstance, if the event data comprises one or more images captured by avisual classification system, such as an AI camera, the visualclassification system may be configured to analyze the one or moreimages, such as through image processing, to determine a quantity of therecyclable item. Further, in an instance, the analyzing may includedetermining a quantity of the recyclable item, such as determining thatthe recycling process may correspond to 5 tons of the recyclable item.Further, the at least one sensory device may be configured fordetermining a quality of the recyclable item. Further, the quality ofthe recyclable item may be calculated by comparing the quantity of therecyclable item against an amount of contaminants in the recyclableitem. For instance, the quantity of the recyclable item may be comparedagainst the quantity of contaminants to determine the quality of therecyclable item. Further, the proof of provenance data may comprise anamount of discarded non-recyclable item. Further, the discardednon-recyclable item may have been sorted from the recyclable item duringthe recycling process. Further, in an instance, a quantity of thediscarded non-recyclable item may be compared against the quantity ofthe recyclable item to determine the quality of the recyclable item.

Further, at 504, the method 500 may include transmitting, using thecommunication device, the proof of provenance data to the first userdevice.

Further, at 506, the method 500 may include storing, using the storagedevice, using the distributed ledger technology, the proof of provenancedata.

FIG. 6 is a flowchart of a method 600 issuing a predetermined amount ofcrypto tokens based on the proof of provenance data, in accordance withsome embodiments

Further, at 602, the method 600 may include issuing, using theprocessing device, a predetermined amount of crypto tokens to a secondcrypto account associated with a second user device associated with therecycling process based on the proof of provenance data.

Further, at 604, the method 600 may include storing, using the storagedevice, using the distributed ledger technology, data related to theissuing the predetermined amount of crypto tokens to the second cryptoaccount.

FIG. 7 is a flowchart of a method 700 of calculating a proof of impactdata, in accordance with some embodiments.

Further, at 702, the method 700 may include receiving, using thecommunication device, a proof of impact data from the at least onesensory device. Further, the at least one sensory device may beconfigured for calculating the proof of impact data based on the eventdata. Further, the proof of impact data may include recycling datacorresponding to at least one of a raw material reduction and CO₂offset. Further, the proof of impact data may include recycling datacorresponding to at least one of a raw material reduction and CO₂offset. Further, the communication device 202 may be configured fortransmitting the proof of impact data to the first user device. Further,the at least one sensory device may be configured to analyze the eventdata to calculate the proof of impact data. For instance, if the eventdata includes one or more images captured by a visual classificationsystem, such as an X ray, the visual classification system may beconfigured for analyzing the one or more images, such as through imageprocessing, and determine an amount of the recyclable item. Forinstance, if recyclable item comprises plastic based food packagingproducts, the at least one sensory device may be configured to determinean amount of recyclable item not containing food particles, such as foodscraps. Further, the amount of recyclable item not containing foodparticles may correspond to raw material reduction. Further, the atleast one sensory device may be configured to analyze the event data todetermine a composition of the recyclable item to calculate a carbonoffset after recycling the recyclable item. For instance, recyclingplastic based products, such as Polyethylene terephthalate (PET) bottlesmay lead to a higher carbon (CO₂) offset than recycling paper basedproducts.

Further, at 704, the method 700 may include transmitting, using thecommunication device, the proof of impact data to the first user device.

Further, at 706, the method 700 may include storing, using the storagedevice, using the distributed ledger technology, the proof of impactdata.

FIG. 8 is a flowchart of a method 800 for issuing a predetermined amountof crypto tokens based on the proof of impact data, in accordance withsome embodiments

Further, at 802, the method 800 may include issuing, using theprocessing device, a predetermined amount of crypto tokens to a secondcrypto account associated with a second user device associated with therecycling process based on the proof of impact data.

Further, at 804, the method 800 may include storing, using the storagedevice, using the distributed ledger technology, data related to theissuing the predetermined amount of crypto tokens to the second cryptoaccount.

FIG. 9 is a flowchart of a method 900 to facilitate generation ofanonymized event data, in accordance with some embodiments.

Further, at 902, the method 900 may include generating, using theprocessing device, an anonymized event data based on anonymization ofthe event data.

Further, at 904, the method 900 may include transmitting, using thecommunication device, the anonymized event data to the first userdevice.

FIG. 10 is a block diagram of a system to facilitate processing ofrecyclable items in communication with a plurality of participants, inaccordance with some embodiments. Further, transfer of RecycleGO tokens1044 is indicated by solid arrows, exchange of RecycleGO tokens 1046 isindicated with double sided dashed arrows, and transfer of recycledgoods 1048 is indicated with dotted arrows. Donations, subsidies, andgrants from NGOs 1002, state governments 1004, United Nations 1006,federal government 1010, and non-profits 1012 may flow into RecycleGO1000 and may either be distributed based on request parameters or addedto a fund for environmental initiatives, named as World SustainabilityFund (WSF). Further, RecycleGO tokens may be issued (“minted”) byRecycleGO through Proof-of-Impact during the recycling process and maybe distributed through Material Recovery Facility (MRF) 1014 toparticipants based on performance. Further, cities, such as city 1016,and city 1018 may distribute waste/recycle budget funding through MRF1014 to participants. Further, RecycleGO 1000 may distribute RecycleGOtokens through the MRF 1014 to residential buildings 1020 based onperformance. Further, residents 1022, and RecycleGO truck drivers 1024may sell RecycleGO tokens to exchanges, such as exchange 1026, andexchange 1028 for cash of commensurate value through a mobileapplication 1008. Further, transportation services, including RecycleGOtruck drivers 1024 may get paid in RecycleGO tokens by corporation 1030,office 1032, and residential building 1020, which may also serve as datapoints to collect recyclable raw material. Further, city 1014, and city1016 may buy RecycleGO tokens from the exchange 1026, and exchange 1028respectively. Further, RecycleGO 1000 may distribute RecycleGO tokensthrough the MRF 1014 to the office 1032 based on performance. Further,the residential building 1020 may distribute additional RecycleGO tokensto tenants, such as the residents 1022 to encourage recycling. Further,cities, and such as the city 1034, and corporations, such as thecorporation 1030 may distribute RecycleGO tokens directly totransportation vehicles, such as a transportation vehicle 1036, andtransportation vehicle 1042 for pickup and delivery of recycled goods.Further, cities, such as the city 1016, and the city 1018 may subsidizeRecycleGO 1000 ecosystem. Further, RecycleGO 1000 may distribute tokensthrough the MRF 1014 to households, such as the household 1038 based onperformance. RecycleGO 1000 may distribute RecycleGO tokens through theMRF 1014 to corporations, such as the corporation 1030 based onperformance. Further, RecycleGO may distribute rebates through the MRF1014 to cities, such as city 1034 and city 1040 based on performance.Further, the residential building 1020 may buy RecycleGO tokens toschedule pickups, but may also sell tokens to turn profit with highrecycling performance, and collection of dividends from data salesleading to increase in value in RecycleGO tokens. Further, mobileapplication may interface with exchanges to enable easy purchase or saleof tokens or review of wallets by participants, such as the corporation1030, household 1038, and city 1014.

FIG. 11 is a block diagram of a system to facilitate processing ofrecyclable items allowing a business to purchase event data related to arecycling process, in accordance with some embodiments. Further,transfer of RecycleGO tokens 1122 is indicated with solid arrows,exchange of RecycleGO tokens 1124 is indicated by double sided dashedarrows, and transfer of recycled goods 1126 is indicated by dottedarrows. Participants, such as office 1102, city 1114, and corporation1104 may transfer recyclable raw material to Material Recovery Facility(MRF) 1106 through transport vehicles, such as transport vehicle 1108,and transport vehicle 1110. Tracking data received as event data andstored in the system (RecycleGO 1100) may be integrated into thetransportation of this material. Further, hyperspectral cameras 1112 atthe MRF 1106 may record the recycling process, which may be stored andanalyzed by the RecycleGO 1100. Further, RecycleGO tokens issued(“minted”) by RecycleGO 1100 through Proof-of-Impact may be distributedthrough the MRF 1106 to participants, including the city 1114, office1102, and corporation 1104 based on performance. Further, participants,such as the office 1102, the city 1114, and the corporation 1104 maysell RecycleGO tokens to exchanges, such as exchange 1116, and exchange1118 for cash of commensurate value through a mobile application.Further, transportation services, including RecycleGO truck driverscorresponding to the transport vehicle 1108, and the transport vehicle1110 may get paid in RecycleGO tokens by the participants. Further,clients 1120 may purchase the event data from RecycleGO 1100 in exchangefor RecycleGO tokens.

FIG. 12 is a block diagram of a system to facilitate processing ofrecyclable items allowing participating entities to purchase event datarelated to a recycling process, in accordance with some embodiments.Further, event data captured in Material Recovery Facilities (MRFs),such as an MRF 1202 may be stored in a storage device such as database1204. Further, the event data may be transmitted to a plurality oforacle nodes, such as the oracle node 1206, oracle node 1208, oraclenode 1210, and oracle node 1212, and transmitted to participatingentities such as United Nations 1214, Federal government 1216, EPA 1218,Non-profits 1220, NGOs 1222, data marketplaces 1224, such as IXO 1228,Enigma 1230, Redux 1226, advertisers 1232, corporations 1234, productanalytics firms 1236, and universities 1238.

With reference to FIG. 13 , a system consistent with an embodiment ofthe disclosure may include a computing device or cloud service, such ascomputing device 1300. In a basic configuration, computing device 1300may include at least one processing unit 1302 and a system memory 1304.Depending on the configuration and type of computing device, systemmemory 1304 may comprise, but is not limited to, volatile (e.g.random-access memory (RAM)), non-volatile (e.g. read-only memory (ROM)),flash memory, or any combination. System memory 1304 may includeoperating system 1305, one or more programming modules 1306, and mayinclude a program data 1307. Operating system 1305, for example, may besuitable for controlling computing device 1300′s operation. In oneembodiment, programming modules 1306 may include image-processingmodule, machine learning module. Furthermore, embodiments of thedisclosure may be practiced in conjunction with a graphics library,other operating systems, or any other application program and is notlimited to any particular application or system. This basicconfiguration is illustrated in FIG. 13 by those components within adashed line 1308.

Computing device 1300 may have additional features or functionality. Forexample, computing device 1300 may also include additional data storagedevices (removable and/or non-removable) such as, for example, magneticdisks, optical disks, or tape. Such additional storage is illustrated inFIG. 13 by a removable storage 1309 and a non-removable storage 1310.Computer storage media may include volatile and non-volatile, removableand non-removable media implemented in any method or technology forstorage of information, such as computer-readable instructions, datastructures, program modules, or other data. System memory 1304,removable storage 1309, and non-removable storage 1310 are all computerstorage media examples (i.e., memory storage.) Computer storage mediamay include, but is not limited to, RAM, ROM, electrically erasableread-only memory (EEPROM), flash memory or other memory technology,CD-ROM, digital versatile disks (DVD) or other optical storage, magneticcassettes, magnetic tape, magnetic disk storage or other magneticstorage devices, or any other medium which can be used to storeinformation and which can be accessed by computing device 1300. Any suchcomputer storage media may be part of device 1300. Computing device 1300may also have input device(s) 1312 such as a keyboard, a mouse, a pen, asound input device, a touch input device, a location sensor, a camera, abiometric sensor, etc. Output device(s) 1314 such as a display,speakers, a printer, etc. may also be included. The aforementioneddevices are examples and others may be used.

Computing device 1300 may also contain a communication connection 1316that may allow device 1300 to communicate with other computing devices1318, such as over a network in a distributed computing environment, forexample, an intranet or the Internet. Communication connection 1316 isone example of communication media. Communication media may typically beembodied by computer readable instructions, data structures, programmodules, or other data in a modulated data signal, such as a carrierwave or other transport mechanism, and includes any information deliverymedia. The term “modulated data signal” may describe a signal that hasone or more characteristics set or changed in such a manner as to encodeinformation in the signal. By way of example, and not limitation,communication media may include wired media such as a wired network ordirect-wired connection, and wireless media such as acoustic, radiofrequency (RF), infrared, and other wireless media. The term computerreadable media as used herein may include both storage media andcommunication media.

As stated above, a number of program modules and data files may bestored in system memory 1304, including operating system 1305. Whileexecuting on processing unit 1302, programming modules 1306 (e.g.,application 1320 such as a media player) may perform processesincluding, for example, one or more stages of methods, algorithms,systems, applications, servers, databases as described above. Theaforementioned process is an example, and processing unit 1302 mayperform other processes. Other programming modules that may be used inaccordance with embodiments of the present disclosure may includemachine learning applications.

Generally, consistent with embodiments of the disclosure, programmodules may include routines, programs, components, data structures, andother types of structures that may perform particular tasks or that mayimplement particular abstract data types. Moreover, embodiments of thedisclosure may be practiced with other computer system configurations,including hand-held devices, general purpose graphics processor-basedsystems, multiprocessor systems, microprocessor-based or programmableconsumer electronics, application specific integrated circuit-basedelectronics, minicomputers, mainframe computers, and the like.Embodiments of the disclosure may also be practiced in distributedcomputing environments where tasks are performed by remote processingdevices that are linked through a communications network. In adistributed computing environment, program modules may be located inboth local and remote memory storage devices.

Furthermore, embodiments of the disclosure may be practiced in anelectrical circuit comprising discrete electronic elements, packaged orintegrated electronic chips containing logic gates, a circuit utilizinga microprocessor, or on a single chip containing electronic elements ormicroprocessors. Embodiments of the disclosure may also be practicedusing other technologies capable of performing logical operations suchas, for example, AND, OR, and NOT, including but not limited tomechanical, optical, fluidic, and quantum technologies. In addition,embodiments of the disclosure may be practiced within a general-purposecomputer or in any other circuits or systems.

Embodiments of the disclosure, for example, may be implemented as acomputer process (method), a computing system, or as an article ofmanufacture, such as a computer program product or computer readablemedia. The computer program product may be a computer storage mediareadable by a computer system and encoding a computer program ofinstructions for executing a computer process. The computer programproduct may also be a propagated signal on a carrier readable by acomputing system and encoding a computer program of instructions forexecuting a computer process. Accordingly, the present disclosure may beembodied in hardware and/or in software (including firmware, residentsoftware, micro-code, etc.). In other words, embodiments of the presentdisclosure may take the form of a computer program product on acomputer-usable or computer-readable storage medium havingcomputer-usable or computer-readable program code embodied in the mediumfor use by or in connection with an instruction execution system. Acomputer-usable or computer-readable medium may be any medium that cancontain, store, communicate, propagate, or transport the program for useby or in connection with the instruction execution system, apparatus, ordevice.

The computer-usable or computer-readable medium may be, for example butnot limited to, an electronic, magnetic, optical, electromagnetic,infrared, or semiconductor system, apparatus, device, or propagationmedium. More specific computer-readable medium examples (anon-exhaustive list), the computer-readable medium may include thefollowing: an electrical connection having one or more wires, a portablecomputer diskette, a random-access memory (RAM), a read-only memory(ROM), an erasable programmable read-only memory (EPROM or Flashmemory), an optical fiber, and a portable compact disc read-only memory(CD-ROM). Note that the computer-usable or computer-readable mediumcould even be paper or another suitable medium upon which the program isprinted, as the program can be electronically captured, via, forinstance, optical scanning of the paper or other medium, then compiled,interpreted, or otherwise processed in a suitable manner, if necessary,and then stored in a computer memory.

Embodiments of the present disclosure, for example, are described abovewith reference to block diagrams and/or operational illustrations ofmethods, systems, and computer program products according to embodimentsof the disclosure. The functions/acts noted in the blocks may occur outof the order as shown in any flowchart. For example, two blocks shown insuccession may in fact be executed substantially concurrently or theblocks may sometimes be executed in the reverse order, depending uponthe functionality/acts involved.

While certain embodiments of the disclosure have been described, otherembodiments may exist. Furthermore, although embodiments of the presentdisclosure have been described as being associated with data stored inmemory and other storage mediums, data can also be stored on or readfrom other types of computer-readable media, such as secondary storagedevices, like hard disks, solid state storage (e.g., USB drive), or aCD-ROM, a carrier wave from the Internet, or other forms of RAM or ROM.Further, the disclosed methods' stages may be modified in any manner,including by reordering stages and/or inserting or deleting stages,without departing from the disclosure.

Although the present disclosure has been explained in relation to itspreferred embodiment, it is to be understood that many other possiblemodifications and variations can be made without departing from thespirit and scope of the disclosure.

We claim:
 1. A system to facilitate processing of recyclable items, thesystem comprising: a tag reader configured for capturing sensory datafrom at least one tag associated with a container of at least onerecyclable item, wherein the sensory data comprises an origin datadescribing a source of the at least one recyclable item and an ownershipdata describing an owner of the at least one recyclable item; acommunication device configured for receiving event data associated witha recycling process from at least one sensory device, wherein the atleast one sensory device is configured for capturing the event dataassociated with the recycling process, wherein the at least one sensorydevice comprises a hyperspectral camera, wherein the hyperspectralcamera is configured for capturing at least one hyperspectral image ofthe at least one recyclable item undergoing the recycling process,wherein the event data comprises the at least one hyperspectral image,an amount of recyclable items in the at least one recyclable item, andat least one of an amount of non-recyclable items and an amount ofcontaminant in the at least one recyclable item; a processing devicecommunicatively coupled to the communication device and the tag reader,wherein the processing device is configured for: analyzing the eventdata using at least one image processing model; determining a quality ofthe at least one recyclable item by comparing at least one of the amountof non-recyclable items and the amount of contaminant against the amountof recyclable items; determining a composition of the at least onerecyclable item based on the analyzing of the event data; calculating acarbon offset for recycling the at least one recyclable item based onthe composition of the at least one recyclable item; generating apredetermined amount of crypto tokens based on the carbon offset and thequality, wherein the predetermined amount of crypto tokens correspondsto the carbon offset and the quality; and issuing the predeterminedamount of crypto tokens to a second crypto account associated with asecond user device based on the generating and the sensory data; astorage device communicatively coupled to the processing device, whereinthe storage device is configured for storing, using a distributedledger, the event data, and data related to the issuing of thepredetermined amount of crypto tokens to the second crypto account. 2.The system of claim 1, wherein the communication device is furtherconfigured for: receiving a request for the event data from a first userdevice; and transmitting the event data to the first user device basedon deducting the predetermined amount of crypto tokens from a firstcrypto account associated with the first user device, wherein theprocessing device is further configured for the deducting of thepredetermined amount of crypto tokens from the first crypto accountassociated with the first device.
 3. The system of claim 1, wherein thecommunication device is further configured for: receiving a proof ofprovenance data from the at least one sensory device, wherein the proofof provenance data comprises recycling data; and transmitting the proofof provenance data to a first user device, wherein the storage device isfurther configured for storing, using the distributed ledger, the proofof provenance data.
 4. The system of claim 3, wherein the issuing of thepredetermined amount of crypto tokens to the second crypto accountassociated with the second user device associated with the recyclingprocess is further based on the proof of provenance data.
 5. The systemof claim 1, wherein the communication device is further configured for:receiving a proof of impact data from the at least one sensory device,wherein the proof of impact data comprises recycling data correspondingto a raw material reduction; and transmitting the proof of impact datato a first user device, wherein the storage device is further configuredfor storing, using the distributed ledger, the proof of impact data. 6.The system of claim 5, wherein the issuing of the predetermined amountof crypto tokens to the second crypto account associated with the seconduser device associated with the recycling process is further based onthe proof of impact data.
 7. A method to facilitate processing ofrecyclable items is disclosed, the method comprising: capturing, using atag reader, sensory data from at least one tag associated with acontainer of at least one recyclable item, wherein the sensory datacomprises an origin data describing a source of the at least onerecyclable item and an ownership data describing an owner of the atleast one recyclable item; receiving, using a communication device,event data associated with a recycling process from at least one sensorydevice, wherein the at least one sensory device is configured forcapturing the event data associated with the recycling process, whereinthe at least one sensory device comprises a hyperspectral camera,wherein the hyperspectral camera is configured for capturing at leastone hyperspectral image of at least one recyclable item undergoing therecycling process, wherein the event data comprises the at least onehyperspectral image, an amount of recyclable items in the at least onerecyclable item, and at least one of an amount of non-recyclable itemsand an amount of contaminant in the at least one recyclable item;analyzing, using a processing device, the event data using at least oneimage processing model; determining, using the processing device, aquality of the at least one recyclable item by comparing at least one ofthe amount of non-recyclable items and the amount of contaminant againstthe amount of recyclable items; determining, using the processingdevice, a composition of the at least one recyclable item based on theanalyzing of the event data; calculating, using the processing device, acarbon offset for recycling the at least one recyclable item based onthe composition of the at least one recyclable item; generating, usingthe processing device, a predetermined amount of crypto tokens based onthe carbon offset and the quality, wherein the predetermined amount ofcrypto tokens corresponds to the carbon offset and the quality; issuing,using the processing device, the predetermined amount of crypto tokensto a second crypto account associated with a second user device based onthe generating and the sensory data; and storing, using a storagedevice, using a distributed ledger, the event data and data related tothe issuing of the predetermined amount of crypto tokens to the secondcrypto account.
 8. The method of claim 7 further comprising: receiving,using the communication device, a request for the event data from afirst user device; and deducting, using the processing device, thepredetermined amount of crypto tokens from a first crypto accountassociated with the first device; and transmitting, using thecommunication device, the event data to the first user device based onthe deducting of the predetermined amount of crypto tokens from thefirst crypto account associated with the first user.
 9. The method ofclaim 7, further comprising: receiving, using the communication device,a proof of provenance data from the at least one sensory device, whereinthe proof of provenance data comprises recycling data; transmitting,using the communication device, the proof of provenance data to a firstuser device; and storing, using the storage device, using thedistributed ledger, the proof of provenance data.
 10. The method ofclaim 9, wherein the issuing of the predetermined amount of cryptotokens to the second crypto account associated with the second userdevice associated with the recycling process is further based on theproof of provenance data.
 11. The method of claim 7, further comprising:receiving, using the communication device, a proof of impact data fromthe at least one sensory device, wherein the proof of impact datacomprises recycling data corresponding to a raw material reduction;transmitting, using the communication device, the proof of impact datato a first user device; and storing, using the storage device, using thedistributed ledger, the proof of impact data.
 12. The method of claim11, wherein the issuing of the predetermined amount of crypto tokens tothe second crypto account associated with the second user deviceassociated with the recycling process is further based on the proof ofimpact data.